Hi, I’m Param Kasana, an AI Engineer with a Master’s degree in Artificial Intelligence from RMIT University. With two years of professional experience in software engineering, I specialize in integrating AI with scalable software development. I enjoy building intelligent systems and leveraging my skills in machine learning, data science, and AI agent orchestration to solve complex problems.
I’m passionate about continuous learning and adapting to new technologies, which allows me to create innovative AI-driven solutions. Whether it is developing AI features for web platforms or educating young minds in coding and AI concepts, I aim to make a positive impact through technology.
Experience Level
Language
Work Experience
Education
Qualifications
Industry Experience
- Real-time ball detection and 3D localisation
- Trajectory estimation using minimal observations
- Fast, constraint-aware motion planning
- Safety-focused, reliable actuation with a net basket tool
An autonomous UR5e robotic arm performs dynamic ball catching using real-time 3D vision and predictive motion planning.
This project showcases a full perception–planning–actuation pipeline implemented entirely in ROS 2 C++, leveraging an Intel RealSense D415 camera for on-arm depth sensing and advanced trajectory prediction for high-speed interception.
Key features demonstrated include:
The system achieves robust catching performance within hardware-imposed limits, highlighting the importance of tightly integrated sensing and control for practical autonomous robotics.
Tools: ROS2, UR5e Cobot, Inverse Kinematics, C++, Python
This is an AI-powered multi-agent automation platform designed to help developers and managers streamline their daily workflows. We built this solution because modern software teams waste valuable time switching between tools like Jira, GitHub, Confluence, Notion, and email often repeating manual, error-prone tasks just to keep projects moving. To address this, we developed a system where a master agent can interpret a single natural language instruction and intelligently coordinate a suite of specialized agents to handle tasks like code analysis, code changes, documentation updates, ticket management, and communication. These agents are deeply integrated with popular developer tools via APIs and an agent orchestration layer, allowing them to work together seamlessly and automate even the most complex workflows, from updating a Jira ticket and pushing code to GitHub, to syncing documentation and sending email updates. The result is a highly flexible, extensible platform that saves time, reduces errors, keeps teams in sync, and empowers both developers and managers to focus on high-value work, rather than on repetitive overhead.
Tools: AI Agents, Multi Agent Orchestration, LLMs, A2A, MCP
Github:- https://github.com/param-kasana/Minizica-genai-agentos
Developed a Multimodal Deep Learning system to identify 22 distinct persuasion techniques in memes using the SemEval-2021 Task 6 dataset. Employed transformer-based models for text feature extraction and CNNs for image analysis. Integrated attention mechanisms for feature fusion and optimised the model using Focal Loss to handle class imbalance. Achieved comprehensive evaluation using accuracy, micro and macro F1 scores, focusing on enhancing performance for minority classes.
Tools: Python, TensorFlow, Keras, Transformers, Pre-trained ML Models
An award-winning, open-source platform that transforms trending news into platform-specific content like text posts, images, memes, and videos using advanced LLMs and multi-agent orchestration. Built to streamline content creation, Minizica aggregates real-time news, summarises key insights, and generates customisable, high-quality media tailored for different tones and platforms. The project won 1st place at the global #BuildwithAI Hackathon 2024, standing out among 200 teams across 80 countries for its innovation and accessibility.
Tools: LLMs, AI Agents Architecture, LangChain
Hire a AI Engineer
We have the best ai engineer experts on Twine. Hire a ai engineer in Melbourne today.